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Bokeh VS CanvasXpress

Compare Bokeh VS CanvasXpress and see what are their differences

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Bokeh logo Bokeh

Bokeh visualization library, documentation site.

CanvasXpress logo CanvasXpress

CanvasXpress is a standalone HTML5 graphing library written in Javascript that includes a simple...
  • Bokeh Landing page
    Landing page //
    2022-11-01
  • CanvasXpress Landing page
    Landing page //
    2023-07-22

Bokeh videos

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"Bokeh" - Netflix Film Review

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CanvasXpress videos

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Category Popularity

0-100% (relative to Bokeh and CanvasXpress)

Bokeh

CanvasXpress

Charting Libraries
88 88%
Charting Libraries
12% 12
Data Visualization
82 82%
Data Visualization
18% 18
Data Dashboard
90 90%
Data Dashboard
10% 10
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Bokeh and CanvasXpress

Bokeh Reviews

Top 8 Python Libraries for Data Visualization
Pygal is a Python data visualization library that is made for creating sexy charts! (According to their website!) While Pygal is similar to Plotly or Bokeh in that it creates data visualization charts that can be embedded into web pages and accessed using a web browser, a primary difference is that it can output charts in the form of SVG’s or Scalable Vector Graphics. These...
Source: www.geeksforgeeks.org

CanvasXpress Reviews

We have no reviews of CanvasXpress yet.
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Social recommendations and mentions

Based on our record, Bokeh seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Bokeh mentions (5)

  • [OC] Chemical Diversity of The GlobalChem Common Chemical Universe
    Visualization: https://docs.bokeh.org/en/latest/. Source: almost 2 years ago
  • Profiling workflows with the Amazon Genomics CLI
    Now that we can get task timing information in a consistent manner, let’s do some plotting. For this, I’m going to use Bokeh which generates nice interactive plots. - Source: dev.to / about 2 years ago
  • 10 Python Libraries For Data Visualization
    Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / over 2 years ago
  • Graphic library Bokeh is underrated and underdocumented
    It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 3 years ago
  • Help with Bokeh Interactive Plot
    Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: about 3 years ago

CanvasXpress mentions (0)

We have not tracked any mentions of CanvasXpress yet. Tracking of CanvasXpress recommendations started around Mar 2021.

What are some alternatives?

When comparing Bokeh and CanvasXpress, you can also consider the following products

Plotly - Low-Code Data Apps

CanvasJS - HTML5 JavaScript, jQuery, Angular, React Charts for Data Visualization

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Chart.js - Easy, object oriented client side graphs for designers and developers.

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